Trainee Decision Scientist
10+ Trainee Decision Scientist Interview Questions and Answers for Freshers
Q1. What are the methods used to store and analyze data before the existence of tools such as Excel
Before Excel, data was stored and analyzed using manual methods.
Data was stored in physical files such as paper documents or index cards.
Analysis was done manually using tools such as calculators or statistical tables.
Data was often organized using charts or graphs.
Data entry was done by hand, which was time-consuming and prone to errors.
Q2. how you would fix the ticket price for a play in an auditorium
Ticket price for a play in an auditorium
Analyze the production cost and expected revenue
Consider the target audience and their willingness to pay
Research the ticket prices of similar plays in the area
Offer discounts for early bird or group bookings
Adjust the price based on demand and availability
Q3. Why is Power BI and Tableau used for?
Power BI and Tableau are used for data visualization and business intelligence purposes.
They help in creating interactive dashboards and reports.
They allow users to analyze and explore data in a visual format.
They can connect to various data sources and transform data for analysis.
They provide features like data filtering, sorting, and aggregation.
They enable users to share insights and collaborate with others.
Example: Power BI can be used to create a sales dashboard that sho...read more
Q4. What is the difference between random forest and decision tree
Random forest is an ensemble learning method that uses multiple decision trees to make predictions, while a decision tree is a single tree-like structure that makes decisions based on features.
Random forest is a collection of decision trees that work together to make predictions.
Decision tree is a single tree-like structure that makes decisions based on features.
Random forest reduces overfitting by averaging the predictions of multiple trees.
Decision tree can be prone to over...read more
Q5. No. of coffees sold by CCD in a day
The number of coffees sold by CCD in a day varies depending on the location, day of the week, and time of day.
The number of coffees sold may be higher on weekdays than weekends
The number of coffees sold may be higher in the morning than in the afternoon or evening
The number of coffees sold may vary depending on the location of the CCD outlet
The number of coffees sold may be affected by seasonal factors such as weather
The number of coffees sold may be influenced by promotional...read more
Q6. No. of crows in Mumbai?
It is impossible to accurately determine the number of crows in Mumbai.
There is no official census of crows in Mumbai.
Crows are highly mobile and can move between different areas of the city.
The population of crows can fluctuate based on factors such as food availability and weather conditions.
Estimates of the number of crows in Mumbai range from a few thousand to several hundred thousand.
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Q7. No. of swifts sold in Mumbai
I don't have the available data to answer this question.
Sorry, I don't have access to the sales data for swifts in Mumbai.
Without the data, it's impossible to provide an accurate answer.
Q8. Do you know to write formal emails?
Yes, I am proficient in writing formal emails.
Use a professional tone and language
Include a clear subject line
Address the recipient respectfully
Proofread for grammar and spelling errors
Sign off appropriately with your name and contact information
Trainee Decision Scientist Jobs
0Q9. Approach to a problem statement
My approach to a problem statement involves understanding the problem, gathering data, analyzing the data, and developing a solution.
Understand the problem statement thoroughly
Gather relevant data and information
Analyze the data to identify patterns and insights
Develop a solution based on the analysis
Test and refine the solution as needed
Q10. What is cost function
A cost function is a mathematical formula used to measure the cost of a particular decision or set of decisions.
Cost function helps in evaluating the performance of a model by measuring how well it is able to predict the outcomes.
It is used in optimization problems to find the best solution that minimizes the cost.
Examples include mean squared error in linear regression and cross-entropy loss in logistic regression.
Q11. Explain the recent project
Developed a predictive model for customer churn in a telecom company
Collected and cleaned customer data including usage patterns and demographics
Used machine learning algorithms such as logistic regression and random forest
Evaluated model performance using metrics like accuracy and AUC-ROC curve
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